Machine Learning Integrated Health Advisory Chatbot System

The project aims to develop an intelligent health advisory system capable of predicting diseases based on user-provided symptoms. Utilizing a dataset-driven approach and advanced machine learning algorithms, the system integrates tools such as Decision Trees and Support Vector Machines (SVM) to deliver precise diagnoses. It employs labelled training datasets for symptom-prognosis mapping, enabling real-time identification of potential health conditions. The application further enhances user interaction with a conversational chatbot interface, guiding users through symptom entry, severity assessment, and personalized precautionary advice. Additionally, the model incorporates severity and description dictionaries to refine its predictive capabilities. This innovation is designed to empower individuals by providing early disease detection and advisory support, bridging gaps in access to immediate healthcare.